Qwen Image 3
Neural Network
Qwen Image 3 is a Qwen model for generating and editing images with accurate rendering of text and fine details.
Specifications
- Input
- text, images
- Output
- images
- Aspect ratio
- 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2
How it works Qwen Image 3?
Qwen Image 3 is a unified model from Qwen that both creates images from text descriptions and edits existing frames in a single workflow. It is distinguished by precise rendering of text and small elements—down to details of about 10 pixels—as well as reliance on broad world knowledge, ensuring scenes are composed meaningfully rather than randomly. In BotHub, the model is accessible from Russia without a VPN or foreign card: you pay with a Russian card in rubles only for actual requests sent, not for a subscription. Nearby, in the same window, over 250 other neural networks await, allowing you to compare results with alternatives in a few clicks. A unified OpenAI-compatible API allows you to integrate generation into your product and switch models without rewriting the integration; requests are transmitted in encrypted form. It is useful for designers creating posters, covers, and banners with readable text; for marketers creating quick campaign creatives; for product teams illustrating articles and presentations; and for shops editing product photos based on references without reshooting.Frequently asked questions about Qwen Image 3
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
qwen-image-3 is a Qwen model for working with images: it creates images from text descriptions and redraws uploaded ones based on a reference. It is suitable for visuals for posts and ads, concepts, illustrations, product card variations, and quick composition or style edits.
We do not have specific data on resolutions and file formats, so we will not promise specific numbers. You receive the result as an image directly in the BotHub interface, from where it can be downloaded. It is easiest to specify detail, framing, and proportions in the description itself.
A separate reasoning mode for qwen-image-3 is not noted in our data, but we will not deny it either. This is an image model: what matters more here is how accurately it reads your request. If you need control, describe the scene, lighting, and angle in more detail.
There are no notes about function calling or structured JSON output for this model in our data. If you are integrating generation into your product, use the unified OpenAI-compatible BotHub API: one key and one request format, while the model inside can be changed without rewriting the integration.
The model accepts images as input—this is the image-to-image mode: you provide a reference and ask to change the style, background, composition, or create a variation. Audio and video are not noted among the input formats in our data; for such tasks, BotHub has specialized models.
We have no data on prompt language, so we will not make any claims—this can be checked in a minute: send a short description and compare it with another phrasing of the same request. BotHub itself is Russian-speaking: interface, support, and payment with Russian cards without VPN.